Search results for "Remote Sensing"

showing 10 items of 1262 documents

Hyperspectral and multispectral perspectives on the prehistoric cultural landscape; the ground-truthed chemical character of prehistoric settlement a…

2006

Remote Sensing RadiometricSettore ICAR/06 - Topografia E Cartografia
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Un modelo operativo para la determinación de la temperatura de la superficie terrestre desde satélites

1994

Remote Sensing:FÍSICA [UNESCO]UNESCO::FÍSICAGeodesy
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Data for: Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observati…

2021

This dataset encompasses a large number (> 700) of in-situ observations over elemantary sampling units (about 20m2) of LAI (effective and actual), fAPAR and fraction of vegetation cover (fCover) collected over a network of agricultural sites during the ImagineS project (http://fp7-imagines.eu/) in the period 2013-2016. The ground dataset was collected with digital hemispherical photography (DHP), LAI2200, and AccuPAR devices following well stablished protocols in agreement with CEOS LPV good practices. The ground data is complemented with concomitant Landsat-8/OLI observations, the sun zenith angle at the acquisition and the NDVI. This results in a unique database to calibrate and valida…

Remote SensingAlgorithm Development for Remote SensingInterdisciplinary sciencesOtherRemote Sensing in Agriculture
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Remote Sensing applications in archaeology

2011

In recent years Remote Sensing applications in archaeology have become increasingly frequent. This plurality of applications depends mostly on the rising interest of the scientific community in modern methods for surveying geographic data, which have become increasingly powerful, automatic and reliable. Remote Sensing, with its various techniques, offers the rapid acquisition of a huge quantity of metric and qualitative data in order to describe or to identify archaeological sites. For an appropriate and widespread use of these data, it is still necessary to have recourse to GIS techniques; as a matter of fact, only the combined use of both methodologies provides a full exploitation of thei…

Remote SensingArchaeologyTheoretical and methodological problemsSurveyingSettore ICAR/06 - Topografia E CartografiaArcheologia e Calcolatori
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Improvement of snow physical parameters retrieval using SAR data in the Arctic (Svalbard)

2018

International audience; Arctic snow cover dynamics offer a changing face in terms of temporal duration andwater equivalent, due to recent climate change conditions (Callaghan et al., 2011; Lemke & Jacobi,2012). Indeed, the Arctic is now experiencing some of the most rapid and severe climate change onearth. In this context, innovative and improved methods are helpful to enhance management of thesnow-pack resource for climate research, hydrology and human activities. The characteristics of Arcticsnow are different from “temperate” snow (i.e. the Alps), in terms of thickness, internal structure, thermalconductivity, and metamorphism. Ground observation often indicates wind slab at the snow sur…

Remote SensingArcticRadar[SHS.GEO] Humanities and Social Sciences/GeographySnow[SHS.GEO]Humanities and Social Sciences/Geography[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/GlaciologyLandoberfläche[SDU.STU.GL] Sciences of the Universe [physics]/Earth Sciences/Glaciology
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Remote sensing data for crop yield in CONUS

2023

I) SUMMARY This database contains harmonized time series for the study of crop yields using remote sensing data and meteorological data. We collected information on soybean, corn, and wheat yields (t/ha) over the CONUS (continuous US) from USDA-NASS for years 2015–2018 at a county level, and collocated time series for the following variables: Enhanced Vegetation Index (EVI) from MODIS satellite (MOD13C1 v6 product) Soil Moisture (SM) from SMAP satellite through MT-DCA algorithm Vegetation Optical Depth (VOD) from SMAP satellite through MT-DCA algorithm Maximum temperature (TMAX) from Daymet v3 Precipitation (PRCP) from Daymet v3 II) CONTACT For questions, please email Laura Mart&iacut…

Remote SensingCONUSSoil MoistureVODCrop YieldEVI
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Estudio de las Medidas Radiométricas realizadas desde satélites artificiales : Aplicación a la Agrometeorología

1983

Remote SensingMeteorology:FÍSICA [UNESCO]UNESCO::FÍSICA
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SPIE Proceedings Vol. 8538 Earth Resources and Environmental Remote Sensing/GIS Applications III

2012

These proceedings contain 53 papers that were presented at the SPIE Conference “Earth Resources and Environmental Remote Sensing/GIS Applications” (Conference 8538A) formerly known under the title ‘Remote Sensing for Environmental Monitoring, GIS Applications, and Geology’. The Conference took place in Edinburgh, United Kingdom from 24 September to 27 September 2012. It was the twelfth Conference with this topic after its inauguration in Toulouse, France, in 2001. The Conference sessions with presented papers and interactive posters were grouped into the following themes: Processing Methodologies, Hazard Mitigation Geologic Application, Processing Methodologies, Infrastructures and Urban Ar…

Remote SensingSettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliEnvironmentEarth ResourcesSettore ICAR/06 - Topografia E CartografiaGeographical Information System
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EDITORIAL FOR SPECIAL ISSUE: “GEOMATICS APPLICATION FOR GEOGRAPHY (GAG)” in GEOGRAPHIA TECHNICA

2021

Geomatics or Geography, that is the question! This is how the authors' idea of merging Geomatics and Geography in this special issue begins, paraphrasing a Shakespearean citation. The common principle that unites these two scientific disciplines, which attempt to describe the territory in the most straightforward way possible. On the other hand, Geomatics and Geography derived from “gèo- “[greek γεω-], as first element of composed words in learned and scientific terminology, meaning “earth”, “globe”, “land surface”.

Remote SensingapplicationsGNSSgeomaticGeography Planning and DevelopmentComputers in Earth Sciencesgeomatic; geography; applicationsgeographySettore ICAR/06 - Topografia E CartografiaSAREarth-Surface ProcessesGeomatics Application for Geography
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Remote Sensing of Photoplethysmogram using Multi Spot Illumination

2018

The ability to remotely extract Photoplethysmogram (PPG) signals is of great interest. A novel approach to overcome motion related noise, based on a multi spot pattern was experimentally demonstrated. Improvement of PPG signal is presented.

Remote sensing (archaeology)Computer scienceNoise (signal processing)PhotoplethysmogramNear-infrared spectroscopySignalLight scatteringRemote sensingImaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP)
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